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Parent Directory -
1. Introduction to the Course/ -
2. Predict Movie Box Office Revenue with Linear Regression/ -
3. Python Programming for Data Science and Machine Learning/ -
4. Introduction to Optimisation and the Gradient Descent Algorithm/ -
5. Predict House Prices with Multivariable Linear Regression/ -
6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/ -
7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/ -
8. Test and Evaluate a Naive Bayes Classifier Part 3/ -
9. Introduction to Neural Networks and How to Use Pre-Trained Models/ -
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/ -
11. Use Tensorflow to Classify Handwritten Digits/ -
12. Serving a Tensorflow Model through a Website/ -
13. Next Steps/ -